Rapid Generation of Realistic Mobility Models for VANET
Feliz Kristianto Karnadi, Zhi Hai Mo, Kun-Chan Lan
Abstract
Feliz Kristianto Karnadi, Zhi Hai Mo, Kun-Chan Lan
Abstract
One emerging, new type of ad-hoc network is the vehicular ad-hoc network (VANET), in which vehicles constitute the mobile nodes in the network. Due to the prohibitive cost of deploying and implementing such a system in real world, most research in VANET relies on simulations for evaluation. A key component for VANET simulations is a realistic vehicular mobility model that ensures conclusions drawn from simulation experiments will carry through to real deployments. In this work, we introduce a tool MOVE that allows users to rapidly generate realistic mobility models for VANET simulations. MOVE is built on top of an open source micro-traffic simulator SUMO. The output of MOVE is a realistic mobility model and can be immediately used by popular network simulators such as ns-2 and qualnet. We evaluate and compare ad-hoc routing performance for vehicular nodes using MOVE to that using the random waypoint model. We show that the simulation results obtained when nodes moving according to a realistic mobility model is significantly different from that of the commonly used random waypoint model.
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One emerging, new type of ad-hoc network is the vehicular ad-hoc network (VANET), in which vehicles constitute the mobile nodes in the network. Due to the prohibitive cost of deploying and implementing such a system in real world, most research in VANET relies on simulations for evaluation. A key component for VANET simulations is a realistic vehicular mobility model that ensures conclusions drawn from simulation experiments will carry through to real deployments. In this work, we introduce a tool MOVE that allows users to rapidly generate realistic mobility models for VANET simulations. MOVE is built on top of an open source micro-traffic simulator SUMO. The output of MOVE is a realistic mobility model and can be immediately used by popular network simulators such as ns-2 and qualnet. We evaluate and compare ad-hoc routing performance for vehicular nodes using MOVE to that using the random waypoint model. We show that the simulation results obtained when nodes moving according to a realistic mobility model is significantly different from that of the commonly used random waypoint model.
Key concepts: Vehicular ad hoc network, Waypoint, Mobility model, Computer science, Wireless ad hoc network, Key (lock), Computer network, Network simulation